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UCP Suite

Validate Universal Commerce Protocol discovery, then test product search, carts, checkout links, and merchant handoff flows.

MCP Playground

Connect to remote MCP servers, inspect tools and resources, test prompts, auth, headers, notifications, and JSON-RPC responses.

A2A Playground

Inspect Agent Cards, validate advertised endpoints, and prepare safe requests for agent-to-agent workflows.

Agent Website Viewer

Enter a public URL and see the roles, names, landmarks, controls, and blockers that shape how AI agents understand the page.

SCANNED
Jul 8, 2026, 7:03 AM
VISIBILITY
Public
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39/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability33%Agent Easeof Use47%Security& Trust65%GEO, AIO, AEO62%SEO100%Performance48%Accessibility0%
  • AI Discoverability 33 out of 100
  • Agent Ease of Use 47 out of 100
  • Security & Trust 65 out of 100
  • GEO, AIO and AEO 62 out of 100
  • SEO 100 out of 100
  • Performance 48 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Phoenix Contact India favicon

Phoenix Contact India

Phoenix Contact - the innovative market leader of industrial connection technology, automation technology, electronic Interface systems and surge protection.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
33
Priority fix1622View details
Discoverability
20
Priority fix200
Content Readiness
20
Priority fix1100
Bot Access Control
55
Needs work322View details
Agent Ease of Use
47
Priority fix010View details
Google Agentic Browsing
33
Priority fix010View details
GEO, AIO and AEO
62
Needs work700
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
Not Applicable
Not Applicable200
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
65
Needs work1500
Security & Trust
65
Needs work1500
Performance
48
Priority fix910View details
Performance
48
Priority fix910View details

Prioritized recommendations

Issues ranked by score impact

3 items need attention

AI DiscoverabilityBot Access ControlEmerging recommendation

ai.txt policy

ai.txt policy failed at "Fetch /ai.txt".

77 Fail

Needs attention

ai.txt policy

Failed check
01

Issue

/ai.txt returned HTTP 403.

Details

02

Why it matters

ai.txt is a fragmented emerging convention. It can communicate human-readable AI crawling, training, attribution, restriction, and contact guidance, but it is not a standard access-control mechanism and absence should not be penalized.

Check name

ai.txt policy

Score

23/100

Status

fail

Category

Bot Access Control

Maturity

Emerging recommendation

Goal

Publish an advisory human-readable AI usage policy only when the site intentionally needs one.

Result

ai.txt policy failed at "Fetch /ai.txt".

Validation steps

  1. Fetch /ai.txt

    /ai.txt returned HTTP 403.

    /ai.txt could not be fetched when present
  2. Validate transport

    ai.txt was served as application/xml; text/plain is preferred.

    /ai.txt transport is invalid or not plain text
  3. Parse ai.txt policy

    ai.txt is present but does not follow the AI Visibility section model.

    /ai.txt policy format is missing required sections or non-standard
  4. Validate policy content

    ai.txt is too short to provide useful advisory policy guidance.

    /ai.txt content is incomplete or unsafe
Evidence log4 steps · 18 lines
Fetch /ai.txt [fail]! /ai.txt returned HTTP 403.INFOFetch /ai.txtINFORequesting optional advisory policy file at /ai.txtFAILCompare /ai.txt HTTP response actual=403 expected="2xx when ai.txt is intentionally published; 404/410 means absent optional file" contentType="application/xml" length=111FAIL/ai.txt returned HTTP 403. statusCode=403Validate transport [warning]! ai.txt was served as application/xml; text/plain is preferred.INFOValidate transportINFOChecking ai.txt media type, size, line count, and whether the response looks like plain text contentType="application/xml" length=111 lineCount=2WARNCompare media type to preferred text/plain transport actual="application/xml" expected="text/plain preferred; readable text required"WARNai.txt was served as application/xml; text/plain is preferred. warnings=["ai.txt was served as application/xml; text/plain is preferred."]Parse ai.txt policy [warning]! ai.txt is present but does not follow the AI Visibility section model.INFOParse ai.txt policyINFODetecting ai.txt convention from bracket sections, frontmatter, headings, and ai.txt context linksINFODetected policy structure convention="unknown-text" sections=[] markdownHeadings=[]WARNCheck AI Visibility required sections actual="missing identity, permissions, restrictions" expected="identity, permissions, and restrictions" missingRecommended=["attribution","contact","content-types"]WARNai.txt is present but does not follow the AI Visibility section model.Validate policy content [fail]! ai.txt is too short to provide useful advisory policy guidance.INFOValidate policy contentINFOChecking required section content, permission/restriction language, attribution, contact details, and safety risks convention="unknown-text"INFODetected policy signals hasPermissionLanguage=false hasRestrictionLanguage=false hasTrainingLanguage=false hasAttributionLanguage=false hasContact=falseFAILCheck required and recommended section coverage actual={"missingRequired":["identity","permissions","restrictions"],"missingRecommended":["attribution","contact","content-types"]} expected={"missingRequired":[],"recommendedPresentWhenPossible":true}FAILai.txt is too short to provide useful advisory policy guidance.

Agent Ease of UseGoogle Agentic BrowsingBrowser audit

Accessibility tree is not well-formed

100 Fail

Check name

Accessibility tree is not well-formed

Score

0/100

Status

fail

Device

desktop

Category

Google Agentic Browsing

Fix guidance

A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page.

Evidence
{
  "description": "A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page."
}

PerformancePerformanceBrowser audit

Avoid large layout shifts

100 Fail

Check name

Avoid large layout shifts

Score

0/100

Status

fail

Device

desktop

Category

Performance

Estimated savings

14 layout shifts found

Fix guidance

These are the largest layout shifts observed on the page. Each table item represents a single layout shift, and shows the element that shifted the most. Below each item are possible root causes that led to the layout shift. Some of these layout shifts may not be included in the CLS metric value due to [windowing](https://web.dev/articles/cls#what_is_cls). [Learn how to improve CLS](https://web.dev/articles/optimize-cls)

Evidence
{
  "displayValue": "14 layout shifts found",
  "description": "These are the largest layout shifts observed on the page. Each table item represents a single layout shift, and shows the element that shifted the most. Below each item are possible root causes that led to the layout shift. Some of these layout shifts may not be included in the CLS metric value due to [windowing](https://web.dev/articles/cls#what_is_cls). [Learn how to improve CLS](https://web.dev/articles/optimize-cls)"
}

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Score history

Public scan score over time

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1 reports
Public score history report links
Scan dateScoreReadinessReport
39/100Level 2, Agent-LimitedCurrent report